https://github.com/doi-usgs/intersectr
See official repository here: https://code.usgs.gov/water/intersectr
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
✓Institutional organization owner
Organization doi-usgs has institutional domain (www.usgs.gov) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.5%) to scientific vocabulary
Repository
See official repository here: https://code.usgs.gov/water/intersectr
Basic Info
Statistics
- Stars: 7
- Watchers: 8
- Forks: 5
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
intersectr
intersectr is an in development package for intersecting spatial attribute data. The primary emphasis is on gridded time-series data such as meteorological forcings that need to be intersected with a spatial modeling mesh or set of spatial modeling units.
Installation:
install.packages("devtools")
devtools::install_github("USGS-R/intersectr")
Contributing:
First, thanks for considering a contribution! I hope to make this package a community created resource for us all to gain from and won't be able to do that without your help!
1) Contributions should be thoroughly tested with testthat.
2) Code style should attempt to follow the tidyverse style guide.
3) Please attempt to describe what you want to do prior to contributing by submitting an issue.
4) Please follow the typical github fork - pull-request workflow.
5) Make sure you use roxygen and run Check before contributing. More on this front as the package matures.
Other notes:
- Please run lintr::lint_package() before submitting a pull request.
- consider running goodpractice::gp() on the package before contributing.
- consider running devtools::spell_check() if you wrote documentation.
- this package may end up using pkgdown running pkgdown::build_site() will refresh it.
Disclaimer
This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy
Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.
This software is provided "AS IS."
Owner
- Name: U.S. Geological Survey
- Login: DOI-USGS
- Kind: organization
- Email: gs_help_git@usgs.gov
- Location: United States of America
- Website: https://www.usgs.gov/
- Twitter: USGS
- Repositories: 59
- Profile: https://github.com/DOI-USGS
By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.
GitHub Events
Total
- Issues event: 3
- Issue comment event: 2
- Push event: 7
- Pull request event: 3
Last Year
- Issues event: 3
- Issue comment event: 2
- Push event: 7
- Pull request event: 3
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| David Blodgett | d****t@u****v | 71 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 15
- Total pull requests: 18
- Average time to close issues: 7 months
- Average time to close pull requests: about 13 hours
- Total issue authors: 4
- Total pull request authors: 1
- Average comments per issue: 1.13
- Average comments per pull request: 0.44
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 2
- Average time to close issues: about 10 hours
- Average time to close pull requests: about 14 hours
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 1.5
- Average comments per pull request: 0.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dblodgett-usgs (12)
- mikejohnson51 (1)
- jesse-ross (1)
- pgoodling-usgs (1)
Pull Request Authors
- dblodgett-usgs (20)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- R >= 3.0 depends
- RNetCDF * imports
- areal * imports
- data.table * imports
- dplyr * imports
- ncdfgeom * imports
- ncmeta * imports
- rgdal * imports
- sf * imports
- stars * imports
- knitr * suggests
- lwgeom * suggests
- rmarkdown * suggests
- testthat * suggests
- tibble * suggests